https://www.matjournals.net/engineering/index.php/JoWDWD <p><strong>JoWDWD</strong> is a peer reviewed journal in the discipline of Computer Science published by the MAT Journals Pvt. Ltd. It is a print and e-journal focused towards the rapid publication of fundamental research papers on all areas of Web Development and Web Designing. This journal involves the basic principles of Web development and Web Designing; where web development is a broad term for the work involved in developing a web site for the Internet (World Wide Web) or an intranet (a private network) and web design encompasses many different skills and disciplines in the production and maintenance of websites.</p> en-US Journal of Web Development and Web Designing https://www.matjournals.net/engineering/index.php/JoWDWD/article/view/4130 <p><em>Microplastic pollution has emerged as a critical environmental challenge due to its widespread presence in aquatic ecosystems and its adverse effects on biodiversity and human health. Conventional laboratory analysis of microplastics relies on manual examination of microscope images, which is labour-intensive, time-consuming, and susceptible to human error. This article proposes a CNN-Based Intelligent System for Microplastic Detection and Analysis in Aquatic Systems, a software-oriented platform that automates the detection, classification, analysis, and reporting of microplastic particles from laboratory-acquired microscope images. The proposed system employs OpenCV-based image preprocessing to enhance image quality, followed by a YOLO-based object detection model for particle localization and a Convolutional Neural Network (CNN) for classifying detected particles into categories such as Fiber, Fragment, Film, Foam, and Pellet. The platform further estimates particle count, size, confidence scores, and contamination severity using a pollution assessment engine. A web-based application developed using React, FastAPI, and PostgreSQL provides secure data management, historical analysis, interactive visualizations, and automated PDF and CSV report generation. The proposed system aims to improve the efficiency, consistency, and traceability of microplastic analysis, offering a practical decision-support tool for environmental laboratories, researchers, and water quality monitoring agencies.</em></p> Kavyashree Prasad G. N Khushi Venkatesh Basavaraddi Hemashree S Deepthi C Harshitha R Copyright (c) 2026 Journal of Web Development and Web Designing 2026-09-17 2026-09-17 11 3 1 11